Developer Hub

A visual platform with real technical options.

Explore Visual Builder, APIs and GraphQL, Python scripts, workflows, versioning, publishing, observability and MCP connections for AI agents.

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KEPLIN PLATFORMThe platform organizes applications and shows the health of the installation from the first screen.

FOR TECHNICAL TEAMS

From visual interface to agent automation.

Build with the right level of abstraction for each problem and keep everything tied to the application, versions, and access control.

KEPLIN MCP links page for authorizing AI agents. — AI agents can work on applications with the permissions of the account that authorizes them.

VISUAL BUILDER

Telas, dados e eventos.

Design interfaces, link datastores, and extend behaviours with TypeScript.

APIS AND GRAPHQL

Integration and contracts.

Generate model operations or compose pipelines with SQL, HTTP, and scripts.

PYTHON AND WORKFLOWS

Logic and automation.

Run code, schedule work, and coordinate technical and human processes.

LIFE CYCLE

Version, publish and observe.

Work as a team, publish with control and investigate the operation through Radar.

MCP AND AGENTS

Automation with the permissions of those who authorize.

An agent can create screens, edit the model, write scripts, run APIs and publish; actions are audited and access can be revoked.

Depth without fragmentation.

KEPLIN brings together visual construction, code, data, automation, and operation in a single technical context.

TypeScriptCanvas SDK

PythonScripts and SDK

GraphQLModel APIs

MCPGoverned Agents

NEXT STEP

Choose a priority application.

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TECHNICAL & OPERATIONAL CLARIFICATIONS

Frequently Asked Questions

Direct answers on architecture, pricing, data sovereignty, and enterprise integration with KEPLIN.

Which programming languages and standards are supported in KEPLIN?

KEPLIN relies on industry-standard tooling: TypeScript for UI extensions and custom canvas components, Python 3.11 for backend jobs, data transformations, and scheduled workers, Relational SQL with ACID compliance, and auto-generated GraphQL & REST APIs with strict schema contracts.

How does KEPLIN handle environments, version control, and zero-downtime releases?

KEPLIN provides built-in multi-environment pipelines (Development, Staging, Production). Every application maintains semantic release history with instant point-in-time snapshots. Schema migrations are non-destructive and backward-compatible, enabling rolling zero-downtime deployments without interrupting active end-user sessions.

How does the official Model Context Protocol (MCP) server operate?

KEPLIN exposes a production-ready Model Context Protocol (MCP) endpoint. Authorized AI systems (Claude, GPT, or private sovereign models) can inspect schemas, execute governed API endpoints, and assist co-engineering tasks while strictly bound by the authorizing user's RBAC scope and verified by tamper-evident audit logs.